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Business intelligence, analytics, and machine learning technologies including SAS, R, Teradata, Hadoop, data science and visualization tools. Security concepts and technologies related to authentication (MFA, risk based authentication, biometrics, SAML, OAuth, OpenID Connect), authorization, encryption, data protection, threat prevention, and S-SDLC best practices including one-time-password (OTP), SSL, PKI, DDoS remediation, anti-malware detection, and application scanning.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The Risk and Operations Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various credit risk and operational areas at SoFi. The Data Scientist will work closely with Credit, Risk, Product, Engineering, and Operations teams to design solutions to support credit underwriting, enhance loan processing, prevent login fraud and account take over, and support loss mitigation, etc.
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Experience with the Azure Ecosystem (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning (AML), Azure Cognitive Services, Azure Storage) Experience with Machine Learning cloud technologies such as Azure Machine Learning (AML), AWS SageMaker or Spark ML.
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Enterprise Big Data Solution provides FIS big Data capabilities including large scale data processing, analytics, fraud platforms, machine learning engineering, stream processing and data insights.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Integration middleware technologies (TIBCO Business Works/EMS, MQ, zOS Connect, Solace, Kafka) and message protocols/formats (JMS, SOAP, JSON, XML) An understanding of, and ideally experience with, cloud hosting providers (Amazon Web Services, Google Cloud Platform, Microsoft Azure, Pivotal Cloud Foundry, and Open Shift) and containerization technologies (Docker and Kubernetes.
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Candidate has advanced expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods and the mathematical theories underlying these tools used to analyze data.
$119,995.2 - $180,086.41 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
$113,200 - $205,500 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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May develop predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques.
$119,995.2 - $180,086.41 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a professional contributor, you’ll be working on an industry leading anomaly detection platform that uses innovative solutions involving Artificial Intelligence (AI) and Machine Learning (ML.
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Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
ExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Experience with cognitive automation, machine learning, and natural language processing (NLP). Familiarity with tools such as UIPath , Automation Anywhere , or similar RPA platforms. Proven experience as an RPA developer or solution architect.
$70 - $82 an hourPart-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Your expertise in IDP, RPA, and cognitive automation will drive the success of our projects. Deploy RPA components, including bots, robots, development tools, code repositories, and logging tools. Knowledge of document processing techniques and OCR technologies.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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Exceptional candidates with interests and expertise in all areas of Advanced Manufacturing Engineering may apply, but primary consideration will be given to candidates with a background in process engineer as applied to polymer processing, systems control engineering, sensor development, and machine learning.
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Python, OpenCV, Keras/PyTorch/Tensorflow Deep Learning/Machine Learning, Computer Vision (Image Classification, Object Detection), Knowledge of deep learning as machine learning modelling is required.
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machine learning jobs in Jacksonville, NY, Oregon
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